Related Experiment Video
Updated: Nov 23, 2025
05:30
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
945
Two-Excitation Routing via Linear Quantum Channels.
Tony John George Apollaro1, Wayne Jordan Chetcuti2,3,4
1Department of Physics, Faculty of Science, University of Malta, MSD 2080 Msida, Malta.
Entropy (Basel, Switzerland)
|January 5, 2021
Summary
This study introduces a two-excitation routing protocol for quantum networks, enabling efficient information transfer in fermionic systems. However, high-quality routing is limited in spin-1/2 networks.
Area of Science:
- Quantum Information Science
- Quantum Networking
- Many-Body Physics
Background:
- Quantum internet requires efficient routing of quantum information between network nodes.
- While single-qubit routing is established, many-qubit routing protocols remain underdeveloped.
- Existing research lacks comprehensive investigation into multi-excitation routing mechanisms.
Purpose of the Study:
- To develop and analyze a two-excitation routing protocol for quantum networks.
- To investigate the application of a perturbative transfer scheme to many-qubit routing.
- To evaluate the protocol's performance on different network architectures, including fermionic and spin-1/2 systems.
Main Methods:
- Applied a perturbative transfer scheme to a two-excitation routing protocol.
- Modeled a network with multiple two-receivers coupled to a linear chain.
- Analyzed scenarios with both switchable and permanent couplings between receivers and the chain.
- Simulated routing efficiency on fermionic and spin-1/2 quantum networks.
Main Results:
- Demonstrated efficient two-excitation routing in a fermionic network.
- Identified limitations for high-quality routing in spin-1/2 networks, restricting suitable regions.
- The protocol's effectiveness is dependent on the specific quantum network's properties and coupling configurations.
Conclusions:
- The developed protocol shows promise for efficient quantum information routing in specific network types.
- Further research is needed to optimize routing protocols for diverse quantum network architectures, particularly spin-1/2 systems.
- This work contributes to the foundational understanding of many-qubit routing essential for building a functional quantum internet.
Related Concept Videos
01:26Transmission-Line Differential Equations
546
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured from...
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured from...
546
01:17Linear Circuits
690
A linear circuit is characterized by its output having a direct proportionality to its input, adhering to the linearity property, which encompasses the principles of homogeneity (scaling) and additivity. Homogeneity dictates that when the input, also referred to as the excitation, is multiplied by a constant factor, the output, known as the response, is correspondingly scaled by the same constant factor. For instance, if the current is multiplied by a constant 'k,' the voltage likewise...
690
01:17Second-Order Circuits
2.8K
Integrating two fundamental energy storage elements in electrical circuits results in second-order circuits, encompassing RLC circuits and circuits with dual capacitors or inductors (RC and RL circuits). Second-order circuits are identified by second-order differential equations that link input and output signals.
Input signals typically originate from voltage or current sources, with the output often representing voltage across the capacitor and/or current through the inductor. For example, in...
Input signals typically originate from voltage or current sources, with the output often representing voltage across the capacitor and/or current through the inductor. For example, in...
2.8K
01:23Propagation of Action Potentials
8.1K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
8.1K
01:13¹H NMR Signal Multiplicity: Splitting Patterns
6.3K
When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
6.3K
01:25Neural Circuits
2.2K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.2K